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Cited by 272

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Flexible Meta-Regression Functions for Modeling Aggregate Dose-Response Data, with an Application to Alcohol and Mortality

Bagnardi, V.·2004·American Journal of Epidemiology

Abstract

In this paper, the authors describe fractional polynomials and cubic splines with which to represent smooth dose-response relations in summarizing meta-analytical aggregate data. Use of these two curve-fitting families can help prevent the problems arising from inappropriate linearity assumptions. These methods are illustrated in the problem of estimating the shape of the dose-response curve between alcohol consumption and all-cause mortality risk. The authors considered aggregate data from 29 cohort studies investigating this issue (1966-2000). J-shaped curves with a nadir at approximately 5-7 g/day of alcohol consumption and a last protective dose of 47-60 g/day were consistently obtained from fractional polynomials and cubic splines. The authors conclude that both of the curve-fitting families are useful tools with which to explore dose-response epidemiologic questions by means of meta-analytical approaches, especially when important nonlinearity is anticipated.

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Crossref · 10.1093/aje/kwh142

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Metadata

Authors
Bagnardi, V.
Venue
American Journal of Epidemiology
Published
2004-06-01
Volume
159
Issue
11
Pages
1077-1086
ISSN
0002-9262 (ISSN-L)
OpenAlex
W2119445723
Cited by
272
References
5
FWCI
3.38
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.